Transformers
PyTorch
JAX
Kabardian
Russian
multilingual
t5
text2text-generation
circassian
kabardian
text-generation-inference
Instructions to use anzorq/kbd_lat-835k_ru-3M_t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anzorq/kbd_lat-835k_ru-3M_t5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("anzorq/kbd_lat-835k_ru-3M_t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("anzorq/kbd_lat-835k_ru-3M_t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
language:
- kbd
- ru
- multilingual
license: unknown
tags:
- circassian
- kabardian
datasets:
- anzorq/kbd_lat-835k_ru-3M
t5-v1_1-small pretrained with mlm task on
• kbd (custom latin script) 835K lines: a pile of scraped text from news sites, books etc.
• ru 3M lines: wiki corpus from OPUS
tokenizer: sentencepiece unigram, 8K, shared vocabulary